{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean radius</th>\n",
       "      <th>mean texture</th>\n",
       "      <th>mean perimeter</th>\n",
       "      <th>mean area</th>\n",
       "      <th>mean smoothness</th>\n",
       "      <th>mean compactness</th>\n",
       "      <th>mean concavity</th>\n",
       "      <th>mean concave points</th>\n",
       "      <th>mean symmetry</th>\n",
       "      <th>mean fractal dimension</th>\n",
       "      <th>...</th>\n",
       "      <th>worst radius</th>\n",
       "      <th>worst texture</th>\n",
       "      <th>worst perimeter</th>\n",
       "      <th>worst area</th>\n",
       "      <th>worst smoothness</th>\n",
       "      <th>worst compactness</th>\n",
       "      <th>worst concavity</th>\n",
       "      <th>worst concave points</th>\n",
       "      <th>worst symmetry</th>\n",
       "      <th>worst fractal dimension</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17.99</td>\n",
       "      <td>10.38</td>\n",
       "      <td>122.80</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.11840</td>\n",
       "      <td>0.27760</td>\n",
       "      <td>0.3001</td>\n",
       "      <td>0.14710</td>\n",
       "      <td>0.2419</td>\n",
       "      <td>0.07871</td>\n",
       "      <td>...</td>\n",
       "      <td>25.38</td>\n",
       "      <td>17.33</td>\n",
       "      <td>184.60</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>0.1622</td>\n",
       "      <td>0.6656</td>\n",
       "      <td>0.7119</td>\n",
       "      <td>0.2654</td>\n",
       "      <td>0.4601</td>\n",
       "      <td>0.11890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.57</td>\n",
       "      <td>17.77</td>\n",
       "      <td>132.90</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>0.08474</td>\n",
       "      <td>0.07864</td>\n",
       "      <td>0.0869</td>\n",
       "      <td>0.07017</td>\n",
       "      <td>0.1812</td>\n",
       "      <td>0.05667</td>\n",
       "      <td>...</td>\n",
       "      <td>24.99</td>\n",
       "      <td>23.41</td>\n",
       "      <td>158.80</td>\n",
       "      <td>1956.0</td>\n",
       "      <td>0.1238</td>\n",
       "      <td>0.1866</td>\n",
       "      <td>0.2416</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>0.2750</td>\n",
       "      <td>0.08902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19.69</td>\n",
       "      <td>21.25</td>\n",
       "      <td>130.00</td>\n",
       "      <td>1203.0</td>\n",
       "      <td>0.10960</td>\n",
       "      <td>0.15990</td>\n",
       "      <td>0.1974</td>\n",
       "      <td>0.12790</td>\n",
       "      <td>0.2069</td>\n",
       "      <td>0.05999</td>\n",
       "      <td>...</td>\n",
       "      <td>23.57</td>\n",
       "      <td>25.53</td>\n",
       "      <td>152.50</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>0.1444</td>\n",
       "      <td>0.4245</td>\n",
       "      <td>0.4504</td>\n",
       "      <td>0.2430</td>\n",
       "      <td>0.3613</td>\n",
       "      <td>0.08758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.42</td>\n",
       "      <td>20.38</td>\n",
       "      <td>77.58</td>\n",
       "      <td>386.1</td>\n",
       "      <td>0.14250</td>\n",
       "      <td>0.28390</td>\n",
       "      <td>0.2414</td>\n",
       "      <td>0.10520</td>\n",
       "      <td>0.2597</td>\n",
       "      <td>0.09744</td>\n",
       "      <td>...</td>\n",
       "      <td>14.91</td>\n",
       "      <td>26.50</td>\n",
       "      <td>98.87</td>\n",
       "      <td>567.7</td>\n",
       "      <td>0.2098</td>\n",
       "      <td>0.8663</td>\n",
       "      <td>0.6869</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>0.6638</td>\n",
       "      <td>0.17300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.29</td>\n",
       "      <td>14.34</td>\n",
       "      <td>135.10</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>0.10030</td>\n",
       "      <td>0.13280</td>\n",
       "      <td>0.1980</td>\n",
       "      <td>0.10430</td>\n",
       "      <td>0.1809</td>\n",
       "      <td>0.05883</td>\n",
       "      <td>...</td>\n",
       "      <td>22.54</td>\n",
       "      <td>16.67</td>\n",
       "      <td>152.20</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>0.1374</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2364</td>\n",
       "      <td>0.07678</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean radius  mean texture  mean perimeter  mean area  mean smoothness  \\\n",
       "0        17.99         10.38          122.80     1001.0          0.11840   \n",
       "1        20.57         17.77          132.90     1326.0          0.08474   \n",
       "2        19.69         21.25          130.00     1203.0          0.10960   \n",
       "3        11.42         20.38           77.58      386.1          0.14250   \n",
       "4        20.29         14.34          135.10     1297.0          0.10030   \n",
       "\n",
       "   mean compactness  mean concavity  mean concave points  mean symmetry  \\\n",
       "0           0.27760          0.3001              0.14710         0.2419   \n",
       "1           0.07864          0.0869              0.07017         0.1812   \n",
       "2           0.15990          0.1974              0.12790         0.2069   \n",
       "3           0.28390          0.2414              0.10520         0.2597   \n",
       "4           0.13280          0.1980              0.10430         0.1809   \n",
       "\n",
       "   mean fractal dimension  ...  worst radius  worst texture  worst perimeter  \\\n",
       "0                 0.07871  ...         25.38          17.33           184.60   \n",
       "1                 0.05667  ...         24.99          23.41           158.80   \n",
       "2                 0.05999  ...         23.57          25.53           152.50   \n",
       "3                 0.09744  ...         14.91          26.50            98.87   \n",
       "4                 0.05883  ...         22.54          16.67           152.20   \n",
       "\n",
       "   worst area  worst smoothness  worst compactness  worst concavity  \\\n",
       "0      2019.0            0.1622             0.6656           0.7119   \n",
       "1      1956.0            0.1238             0.1866           0.2416   \n",
       "2      1709.0            0.1444             0.4245           0.4504   \n",
       "3       567.7            0.2098             0.8663           0.6869   \n",
       "4      1575.0            0.1374             0.2050           0.4000   \n",
       "\n",
       "   worst concave points  worst symmetry  worst fractal dimension  \n",
       "0                0.2654          0.4601                  0.11890  \n",
       "1                0.1860          0.2750                  0.08902  \n",
       "2                0.2430          0.3613                  0.08758  \n",
       "3                0.2575          0.6638                  0.17300  \n",
       "4                0.1625          0.2364                  0.07678  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from BorutaShap import BorutaShap, load_data\n",
    "from xgboost import XGBClassifier,XGBRegressor\n",
    "from catboost import CatBoostClassifier,CatBoostRegressor\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "X,y = load_data()\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:02<00:00, 47.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 attributes confirmed important: ['area error', 'worst concave points', 'worst radius', 'worst texture']\n",
      "26 attributes confirmed unimportant: ['worst smoothness', 'worst area', 'worst fractal dimension', 'fractal dimension error', 'mean radius', 'worst perimeter', 'mean texture', 'concavity error', 'mean symmetry', 'perimeter error', 'mean area', 'symmetry error', 'worst compactness', 'mean concavity', 'mean concave points', 'mean compactness', 'mean perimeter', 'concave points error', 'radius error', 'mean smoothness', 'worst concavity', 'texture error', 'mean fractal dimension', 'worst symmetry', 'smoothness error', 'compactness error']\n",
      "0 tentative attributes remains: []\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model = DecisionTreeClassifier()\n",
    "\n",
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(model=model,\n",
    "                              importance_measure='shap',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:49<00:00,  2.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20 attributes confirmed important: ['worst smoothness', 'worst area', 'mean texture', 'concavity error', 'mean area', 'area error', 'mean concave points', 'worst concavity', 'perimeter error', 'mean radius', 'worst perimeter', 'worst texture', 'worst compactness', 'mean concavity', 'worst concave points', 'mean compactness', 'mean perimeter', 'radius error', 'worst symmetry', 'worst radius']\n",
      "7 attributes confirmed unimportant: ['fractal dimension error', 'mean symmetry', 'texture error', 'mean fractal dimension', 'symmetry error', 'smoothness error', 'compactness error']\n",
      "3 tentative attributes remains: ['concave points error', 'mean smoothness', 'worst fractal dimension']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model = RandomForestClassifier()\n",
    "\n",
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(model=model,\n",
    "                              importance_measure='shap',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 tentative features are now accepted: ['concave points error']\n",
      "2 tentative features are now rejected: ['mean smoothness' 'worst fractal dimension']\n"
     ]
    }
   ],
   "source": [
    "Feature_Selector.TentativeRoughFix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XGBoost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:18<00:00,  5.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11 attributes confirmed important: ['area error', 'mean concave points', 'worst concave points', 'worst smoothness', 'worst area', 'worst perimeter', 'mean texture', 'worst concavity', 'worst texture', 'worst radius', 'compactness error']\n",
      "19 attributes confirmed unimportant: ['worst fractal dimension', 'concavity error', 'mean area', 'symmetry error', 'texture error', 'mean fractal dimension', 'smoothness error', 'perimeter error', 'mean radius', 'fractal dimension error', 'mean symmetry', 'worst compactness', 'mean concavity', 'mean compactness', 'mean perimeter', 'concave points error', 'radius error', 'mean smoothness', 'worst symmetry']\n",
      "0 tentative attributes remains: []\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model = XGBClassifier()\n",
    "\n",
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(model=model,\n",
    "                              importance_measure='shap',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Catboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [13:45<00:00,  8.26s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19 attributes confirmed important: ['worst smoothness', 'worst area', 'mean texture', 'mean area', 'area error', 'mean concave points', 'worst concavity', 'perimeter error', 'mean radius', 'worst perimeter', 'worst texture', 'worst compactness', 'mean concavity', 'worst concave points', 'mean perimeter', 'radius error', 'mean smoothness', 'worst symmetry', 'worst radius']\n",
      "9 attributes confirmed unimportant: ['mean compactness', 'fractal dimension error', 'worst fractal dimension', 'mean symmetry', 'concavity error', 'texture error', 'mean fractal dimension', 'symmetry error', 'smoothness error']\n",
      "2 tentative attributes remains: ['compactness error', 'concave points error']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model = CatBoostClassifier()\n",
    "\n",
    "# no model selected default is Random Forest, if classification is False it is a Regression problem\n",
    "Feature_Selector = BorutaShap(model=model,\n",
    "                              importance_measure='shap',\n",
    "                              classification=True)\n",
    "\n",
    "Feature_Selector.fit(X=X, y=y, n_trials=100, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 tentative features are now accepted: []\n",
      "2 tentative features are now rejected: ['compactness error' 'concave points error']\n"
     ]
    }
   ],
   "source": [
    "Feature_Selector.TentativeRoughFix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Returns Boxplot of features\n",
    "Feature_Selector.plot(X_size=12, figsize=(12,8),\n",
    "            y_scale='log', which_features='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.6 64-bit ('test2': conda)",
   "language": "python",
   "name": "python37664bittest2conda430366e329e54cb68cfb37f49729e20f"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
